Agent-based optimization for product family design

被引：0
|
作者：
Rahul Rai
Venkat Allada
机构：
[1] University of Texas—Austin,Mechanical Engineering Department
[2] University of Missouri-Rolla,Engineering Management & Systems Engineering Department
来源：
Annals of Operations Research | 2006年 / 143卷
关键词：
Product family; Agent-based optimization; Quality loss function;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a two-step approach to determine the optimal platform level for a selected set of product families and their variants. The first step employs a multi-objective optimization using an agent-based framework to determine the Pareto-design solutions for a given set of modules. The second step performs a post optimization analysis that includes application of the quality loss function (QLF) to determine the optimal platform level. The post optimization analysis yields the optimal platform level for a related set of product families and their variants. We demonstrate the working of the proposed method by using an example problem.
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页码：147 / 156
页数：9
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